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Computer-implemented systems and methods for forecasting performance of water flooding of an oil reservoir system using a hybrid analytical-empirical methodology

机译:使用混合分析-经验方法来预测油藏系统注水性能的计算机实现的系统和方法

摘要

Computer-implemented systems and methods are provided for generating corrected performance data of water flooding of an oil reservoir system based on application of a statistical correction factor methodology (SCF). For example, data related to properties of the oil reservoir system and data related to a water flooding scenario are received. Water flooding performance data is generated based on application of an analytical water flooding performance computation methodology. Based on application of the SCF methodology to the generated water flooding performance data, corrected water flooding performance data is determined, representative of oil recovery by the water flooding of the oil reservoir system. The SCF methodology can also be used to evaluate water production based on parameters such as water-oil ratio and water cut, identify possible analog reservoirs that have similar water production performance, and calculate a Gross Injection Factor to account for water loss in the reservoir.
机译:提供了计算机实现的系统和方法,用于基于统计校正因子方法(SCF)的应用来生成油藏系统注水的校正性能数据。例如,接收与储油系统的特性有关的数据和与注水方案有关的数据。基于分析水驱性能计算方法的应用来产生水驱性能数据。在将SCF方法应用于生成的注水性能数据的基础上,确定了校正后的注水性能数据,这些数据代表了油藏系统注水带来的采油量。 SCF方法还可以用于基于诸如水油比和含水率之类的参数来评估产水量,确定具有相似产水性能的可能模拟储层,并计算总注入因子以解决储层中的水损失。

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